Title :
An improved LMS adaptive algorithm for narrowband interference suppression in direct sequence spread spectrum
fDate :
7/1/1995 12:00:00 AM
Abstract :
In 1990 Vijayan and Poor proposed nonlinear predictive methods for suppressing narrowband interference in spread spectrum (SS) systems with a significant increase in signal-to-noise ratio (SNR) improvement. The main drawback of their adaptive nonlinear filter is its slow convergence rate. A new adaptive least mean squares (LMS) algorithm to increase the slow convergence of their nonlinear adaptive filter is described. Computer simulation results are presented to support the advantages of the new filter
Keywords :
adaptive filters; circuit analysis computing; digital simulation; interference suppression; least mean squares methods; nonlinear filters; spread spectrum communication; adaptive least mean squares algorithm; adaptive nonlinear filter; computer simulation; convergence rate; direct sequence spread spectrum; improved LMS adaptive algorithm; narrowband interference suppression; nonlinear adaptive filter; nonlinear predictive methods; personal communication; signal-to-noise ratio; spread spectrum systems; Adaptive algorithm; Adaptive filters; Computer simulation; Convergence; Interference suppression; Least squares approximation; Narrowband; Nonlinear filters; Signal to noise ratio; Spread spectrum communication;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
